A Private ChatGPT for Your Business Without Sending Data to OpenAI
Give your staff the productivity of a ChatGPT-style assistant without your confidential data ever leaving your control. Custom LLM runs entirely inside your own cloud account, VPC or data centre in Australia, trained on your documents and processes. Every answer is grounded in your business, and no prompt is ever sent to OpenAI, Anthropic or any offshore provider.
Why Public ChatGPT Is a Data Risk Your Board Cannot Ignore
Public ChatGPT is enormously useful, which is exactly why your staff are already pasting contracts, client records and source code into it. The moment they do, that information leaves your organisation and lands on servers you do not control, in a jurisdiction you cannot audit. A private ChatGPT closes that gap without taking the tool away from your team.
Your Prompts Become Training Data
When staff paste sensitive material into a consumer AI tool, that content is transmitted to US-based infrastructure and may be retained, logged, or reviewed under terms your organisation never negotiated. For a firm handling client confidences, health data, or commercially sensitive IP, a single well-meaning prompt can constitute a reportable data breach. A private deployment keeps every prompt inside your own perimeter, where retention, logging, and access are governed entirely by your policies.
Shadow AI Is Already Happening
Surveys consistently show that most knowledge workers use public AI tools at work whether or not it is sanctioned. Blocking the domain at the firewall does not stop it; it simply pushes usage onto personal phones and unmanaged accounts where you have zero visibility. Giving your team an approved private ChatGPT that is genuinely good removes the incentive to go around IT, and gives you a complete audit trail of how AI is actually being used across the business.
Regulators Expect You to Know Where Data Goes
Under the Privacy Act and Australian Privacy Principle 8, sending personal information overseas creates accountability that most consumer AI terms do not satisfy. APRA-regulated entities, government agencies, and firms bound by professional confidentiality face even stricter expectations around data location and third-party access. Hosting your assistant on sovereign Australian infrastructure lets you answer the question every regulator eventually asks: exactly where does our data live, and who can reach it?
Everything Your Team Loves About ChatGPT, Kept Inside Your Walls
A private ChatGPT should feel identical to the tool your staff already use, while being fundamentally different underneath. Same familiar experience; your infrastructure, your data, your rules.
A Familiar Chat Experience
The interface your team already knows how to use, so adoption is immediate and the training curve is effectively zero.
- Clean chat interface for drafting, summarising, and answering questions
- Web and mobile access behind your single sign-on
- Conversation history scoped and retained per your data policy
- Support for uploads, long documents, and multi-turn work
Trained on Your Knowledge
Connect your assistant to the documents, wikis, and systems that hold your institutional knowledge so answers reflect how your business actually works.
- Retrieval from SharePoint, Confluence, network drives, and intranets
- Answers grounded in your policies, procedures, and past work
- Sources refresh automatically as your documents change
- No reliance on generic public data for domain-specific questions
Runs on Your Infrastructure
Deploy into your own cloud account or on-premises environment. You own the model weights and the data; there is no shared tenancy with other organisations.
- Deploys to your AWS, Azure, or Google Cloud VPC
- Fully on-premises or air-gapped options for the highest sensitivity
- Australian data centres including NEXTDC, AUCloud, and Macquarie
- Single-tenant by design with no data commingling
Enterprise Access Control
The same access discipline as any system touching sensitive data, so people only ever see what they are already entitled to see.
- SSO and SAML integration with your identity provider
- Role-based permissions mirroring your existing data access
- Document-level controls enforced at the retrieval layer
- Multi-factor authentication on administrative functions
Every Answer Is Traceable
Unlike a black-box public tool, a private ChatGPT gives you a complete, exportable record of how it is being used and where each answer came from.
- Inline citations linking each response back to source documents
- Immutable logging of prompts and responses with user identity
- Exportable audit trail for compliance and incident review
- Usage analytics showing adoption across teams and functions
Connected to Your Systems
Move beyond chat and let the assistant take real work off your team through controlled, permissioned connectors to your line-of-business systems.
- Integrations with CRM, ticketing, and ERP platforms
- Controlled connectors with least-privilege access
- Human-in-the-loop approval for consequential actions
- Workflow automation grounded in your own data
From First Conversation to Live Deployment
A private ChatGPT is a change to how your whole organisation works, so we deploy it deliberately rather than dropping it in and hoping. Most organisations are live within four to six weeks.
Scoping Workshop
We map the highest-value use cases, identify which knowledge sources the assistant should draw on, and document your security and compliance requirements before a single component is deployed.
Secure Deployment
The assistant is stood up inside your own cloud account or data centre, wired to your single sign-on, and connected to your approved knowledge sources with access controls that mirror your existing permissions.
Grounding and Tuning
We index your documents, tune retrieval so answers are accurate and well-cited, and red-team the deployment for prompt injection and data-access issues before anyone outside the project team touches it.
Rollout and Enablement
Staff are onboarded in cohorts with hands-on training and clear usage guidance. We track adoption and answer quality so the assistant keeps improving after go-live rather than stalling.
Data Sovereignty Is a Deployment Decision, Not a Promise
The difference between a private ChatGPT and a public one is not a checkbox in a settings menu; it is where the model runs and who has legal authority over the data. We match the deployment architecture to your actual risk profile.
Data Sovereignty by Design
Because the model and your data sit on Australian sovereign infrastructure, there is no offshore transfer to account for and no foreign legal regime that can reach your information without an Australian court.
- All prompts and documents remain on Australian soil
- Not subject to the US CLOUD Act or foreign compelled access
- No data used to train any third-party or shared model
- Full Privacy Act alignment with no cross-border APP 8 exposure
Deployment Options to Match Your Risk Profile
One size does not fit every organisation. From a managed sovereign cloud through to a fully air-gapped install, you choose how much control you need and we build to it.
- Managed sovereign cloud for fast deployment with Australian residency
- Your own VPC when you want the model inside your existing cloud account
- On-premises for regulated data that cannot leave your building
- Air-gapped configuration for defence and classified environments
Compare the Alternatives
Private AI vs ChatGPT
A side-by-side look at how a private, custom-trained AI stacks up against public ChatGPT for Australian businesses.
Read the comparison →ChatGPT Enterprise Alternative
Weighing ChatGPT Enterprise against a sovereign Custom LLM on data residency, customisation, and cost at scale.
Compare the options →LLM Security and Data Privacy
The technical controls that make a private assistant genuinely secure, from prompt injection defence to audit logging.
Review the security model →Frequently Asked Questions
A private ChatGPT is a ChatGPT-style conversational assistant that runs on infrastructure you control rather than on OpenAI's servers. It offers the same familiar chat experience your team expects, but every prompt and response stays inside your own cloud account, VPC, or data centre. It is typically trained or grounded on your own documents, so answers reflect your business rather than generic public knowledge.
ChatGPT Enterprise still processes your data on OpenAI infrastructure in the United States and cannot be fine-tuned on your proprietary data. A private ChatGPT built on Custom LLM runs on Australian sovereign infrastructure, can be trained directly on your documents, and is not subject to the US CLOUD Act. For organisations whose main concern is data sovereignty or deep customisation, the private deployment is a materially stronger fit.
No. That is the entire point of the architecture. The model runs inside your chosen environment on Australian infrastructure, and prompts, documents, and responses never travel to OpenAI, Anthropic, or any offshore provider. If you require it, we can deploy in a fully on-premises or air-gapped configuration so that no data leaves your building at all.
For general writing and reasoning, a well-chosen open model is now very close to the public tools most people use day to day. More importantly, for the questions that actually involve your business, a private ChatGPT grounded in your documents is far more useful than a public model that has never seen your data. Because the chat interface is familiar, adoption is usually fast and the training burden is minimal.
Most organisations are live within four to six weeks. The process runs from a scoping workshop, through secure deployment into your cloud or data centre, to grounding the assistant on your knowledge sources and rolling it out to staff in cohorts. We handle the technical build and red-team testing; you provide the use cases, the knowledge sources, and access to your identity provider for single sign-on.
Yes. Access control is built in rather than bolted on. The assistant integrates with your single sign-on and enforces role-based permissions that mirror your existing data access, with document-level controls applied at the retrieval layer. Combined with full audit logging, this means a user only ever sees answers drawn from information they are already entitled to access, and every interaction is recorded.
Give Your Team a Private ChatGPT You Actually Control
Book a demo and see a private, sovereign assistant trained on your own knowledge, running on your own infrastructure, with nothing sent to OpenAI.